الفهرس 
Survey of Single and Multi-Target TrackingOnly 14 pages are availabe for public view
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Abstract
Multi-target tracking (MIT) problem is an essential requirement for
surveillance systems employing one or more sensors, together with
computer system, to interpret an en’ ironment that includes both true
target and false alarms. With the recent proliferation and the increasing
sophistication of surveillance systems, designers of radar and other
systems are recognizing the importance of MIT. This thesis presents a
survey of the existing theory and methods for MIT, as well as algorithms
for gating and prediction for real-time applications. The basic elements
constituting a MIT system are also discussed. Filtering, prediction and
estimation are explained. The theories of filtering using fixed a-~ and
time-varying coefficients (Kalman) filters are presented. The
correspondence between them is also explained. A survey of gating and
data association is illustrated. Various kinds of gating procedure are
discussed. Some adaptive target tracking algorithms are explained.
An adaptive target tracking algorithm with simplest case of adaptive a.B
filter is proposed. It composed of three main major functions: track
initiation, plot-to-track correlation, and track update. The proposed
algorithm discusses these three functions and detailed analysis is given.
Track update is presented using the necessary relations for pre-update
extrapolation, gain selection, update position and velocity filtering or
smoothing, covariance matrix, and post-update are discussed.
Implementation and results of multi-target tracking (MIT) USIng
simulated radar system input are presented. Finally, some simulated
target trajectories data are considered and program output, after
processing their data, is given. The advantages of the proposed algorithm
are as follows it is a recursive algorithm; simple and easy to implement; it can initiate
tracks and maintain tracks in the presence of maneuvers and can also
terminate tracks if warranted; it provides optimum estimates of the
aircraft’s position and velocity; and it has an excellent multitarget
tracking performance without significant increasing in the complexity and
formulas.